The Large Magellanic Cloud Revealed in Gravitational Waves with LISA: Population Release
- 1. Yale University
- 2. The University of Birmingham
- 3. Leiden University
Description
The Large Magellanic Cloud (LMC)’s binary populations for study by the Laser Interferometer Space Antenna (LISA) as generated by Keim et al. in a paper submitted to MNRAS (Keim, M. A., Korol, V., Rossi, E. M. The Large Magellanic Cloud Revealed in Gravitational Waves with LISA. Monthly Notices of the Royal Astronomical Society, 2022, submitted). The files include all current double white dwarfs in the LISA band (‘LISABand’), all which will be detectable with a S/N>7 after 4 yrs (‘Detect’), and all which are detached/non-accreting, i.e. sure LISA sources (‘Detached’). This release represents a 2.7*10^9 stellar mass LMC, and includes distribution models based on observation (‘M1’) and simulation (‘M3’). For more information, please refer to Keim et al. (2022). We request that researchers utilising any of these populations cite Keim et al. (2022).
The data columns are as follows:
Column 1 = Right Ascension (Degrees)
Column 2 = Declination (Degrees)
Column 3 = Age (Myr, since formation of Main Sequence Pair)
Column 4 = Mass of White Dwarf One (Msun)
Column 5 = Mass of White Dwarf Two (Msun)
Column 6 = Radius of White Dwarf One (Rsun)
Column 7 = Radius of White Dwarf Two (Rsun)
Column 8 = Orbital Radius (Rsun)
Column 9 = Frequency (Hz)
Column 10 = Chirp (Hz^2)
Column 11 = Latitude (Radians)
Column 12 = Longitude (Radians)
Column 13 = Amplitude (Defined with a prefactor of 2)
Column 14 = Inclination (Radians)
Column 15 = Polarization (Radians)
Column 16 = Orbital Phase (Radians)
Column 17 = Distance (kpc)
Column 18 = Mass Transfer (1= Yes, i.e. Roche Lobe Overfill, 0= No)
Files
M1_27GM_Detached.txt
Files
(2.2 GB)
Name | Size | Download all |
---|---|---|
md5:a899d4ef0d2b5b7177fe911cc73eef63
|
159.9 kB | Preview Download |
md5:d9426f86fc86a29da1383fec76163cfa
|
255.9 kB | Preview Download |
md5:81e076a8350692ef029e92077e1e892d
|
1.1 GB | Preview Download |
md5:ab64bd0124ac4891b32a271fbf8138aa
|
145.5 kB | Preview Download |
md5:dbbf2b3c59947d43bbf092fdd3ef287a
|
230.2 kB | Preview Download |
md5:f5e5ed9e0519212981c95830907dc8b5
|
1.1 GB | Preview Download |